agrep {base} | R Documentation

## Approximate String Matching (Fuzzy Matching)

### Description

Searches for approximate matches to `pattern` (the first argument) within the string `x` (the second argument) using the Levenshtein edit distance.

### Usage

    agrep(pattern, x, ignore.case = FALSE, value = FALSE, max.distance = 0.1)

### Arguments

`pattern` | a non-empty character string to be matched (not a regular expression!)
`x` | character vector where matches are sought.
`ignore.case` | if `FALSE`, the pattern matching is case sensitive and if `TRUE`, case is ignored during matching.
`value` | if `FALSE`, a vector containing the (integer) indices of the matches determined is returned and if `TRUE`, a vector containing the matching elements themselves is returned.

`max.distance`

Maximum distance allowed for a match. Expressed either as integer, or as a fraction of the pattern length (will be replaced by the smallest integer not less than the corresponding fraction), or a list with possible components

`all`:
  maximal (overall) distance
`insertions`:
  maximum number/fraction of insertions
`deletions`:
  maximum number/fraction of deletions
`substitutions`:
  maximum number/fraction of substitutions

If `all` is missing, it is set to 10%, the other components default to `all`. The component names can be abbreviated.

### Details

The Levensthein edit distance is used as measure of approximateness: it is the the total number of insertions, deletions and substitutions required to transform one string into another.

The function is a simple interface to the `apse` library developed by Jarkko Hietaniemi (also used in the Perl String::Approx module).

### Value

Either a vector giving the indices of the elements that yielded a match, of, if `value` is `TRUE`, the matched elements.

### Author(s)

David Meyer David.Meyer@ci.tuwien.ac.at (based on C code by Jarkko Hietaniemi); modifications by Kurt Hornik

### See Also

`grep`

### Examples

    agrep("lasy", "1 lazy 2")
    agrep("lasy", "1 lazy 2", max = list(sub = 0))
    agrep("laysy", c("1 lazy", "1", "1 LAZY"), max = 2)
    agrep("laysy", c("1 lazy", "1", "1 LAZY"), max = 2, value = TRUE)
    agrep("laysy", c("1 lazy", "1", "1 LAZY"), max = 2, ignore.case = TRUE)

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